AI Agent Mastery: Build & Deploy AI Agents

New
·

6 Weeks

·

Cohort-based Course

This course teaches you how to build and deploy powerful AI Agents using tools like LangChain, Agentic RAG, MCP - skills in high demand.

Course overview

Go from LLM Beginner to Agentic Architect

From Curious to Capable

You’ll go from just exploring GenAI to confidently building smart AI Agents that take real actions to solve real problems & create a big impact.

From Developer to AI Builder

You won’t just prompt—you’ll architect AI systems using LangChain, Agents, Agentic RAG, MCP servers and custom tool integrations.

From Idea to Execution

Whether you're a founder or product manager, you’ll learn how to take a product idea involving AI agents, transform into a working MVP & shipping an enterprise solution.

From Learning to Earning

You’ll walk away with a deployable AI Agent that can be integrated into a SaaS product, internal tool, or offered as a consulting service.

From Theory to Deployment

You’ll master not just building, but deploying your AI agent to production using Docker and AWS —job-ready skills that is in great demand right now.

From Individual to Innovator

You’ll gain the clarity, confidence, and capability to build products & lead AI initiatives, pitch agent-based solutions, and create value.

Who is this course for

01

Developers & Engineers

Build and deploy AI Applications & fast-track careers into one of the most in-demand,and high paying in tech

02

Product Managers

Looking to lead AI-driven product development, understand agent architecture & collaborate effectively with technical team

03

Entrepreneurs & Founders

Aiming to launch AI-powered SaaS products, automate workflows, or integrate intelligent agents into their business

04

Solopreneurs & Freelancers

Ready to offer AI agent solutions to clients or build their own AI-based tools and services.

05

Builders, Hackers & Tinkerers

Love getting their hands dirty, exploring GenAI, & want to build something real—not just another chatbot

What you’ll get out of this course

Build Production-Ready AI Agents Design and deploy intelligent AI agents that interact, reason, and take action across tools and APIs.


Master GenAI & LangChain Gain hands-on experience with LangChain, OpenAI, and other GenAI tools to craft cutting-edge agentic workflows.


Implement Agentic RAG Pipelines Learn how to create context-aware Retrieval-Augmented Generation (RAG) systems that power smarter chatbots


Deploy on AWS Like a Pro Package & deploy your AI agents and applications at scale using Docker & Amazon cloud for real-world readiness


Launch Your AI-Powered Products or Services Whether you're a founder, or developer, walk away with a fully functioning AI Application

Whether you're building MVP, automating operations, or offering AI services—leave this course with something real, working, & ready to ship

What’s included

Nitin Monga

Live sessions

Learn directly from Nitin Monga in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

20 live sessions • 8 lessons • 2 projects

Week 1

Jul 5—Jul 6

    Building AI Agents - Orientation

    1 item

    Jul

    5

    Optional: Building AI Agents - Understanding AI Landscape

    Sat 7/54:00 PM—5:00 PM (UTC)
    Optional

    Jul

    5

    Optional: Building AI Agents - Orientation

    Sat 7/53:00 PM—3:45 PM (UTC)
    Optional

    Understanding AI Landscape

    1 item

    Jul

    6

    Optional: Building AI Agents - Infra Readiness

    Sun 7/63:00 PM—4:00 PM (UTC)
    Optional

    Jul

    6

    Optional: LangChain & working with LLMs API

    Sun 7/64:00 PM—5:00 PM (UTC)
    Optional

Week 2

Jul 7—Jul 13

    Introduction to Large Language Models (LLMs)

    1 item

    Jul

    10

    Optional: LangChain & LLMs API - Hands on With OpenAI, DeepSeek, Llama3/4, GROK, etc

    Thu 7/1012:00 AM—1:00 AM (UTC)
    Optional

    Jul

    12

    Optional: LangChain & LLMs API - Hands on With OpenAI, DeepSeek, Llama3/4, GROK, etc

    Sat 7/123:00 PM—5:00 PM (UTC)
    Optional

    Jul

    13

    LangChain, Ollama & LLMs API - Hands on With Ollama

    Sun 7/133:00 PM—5:00 PM (UTC)
    Optional

Week 3

Jul 14—Jul 20

    Jul

    17

    Optional: RAG - Retrieval-Augmented Generation & Vector Databases

    Thu 7/1712:00 AM—1:00 AM (UTC)
    Optional

    Jul

    19

    Optional: RAG - Retrieval-Augmented Generation and Vector Databases

    Sat 7/193:00 PM—5:00 PM (UTC)
    Optional

    Jul

    20

    Optional: First Step into Agentic AI - LangChain & AI Agents

    Sun 7/203:00 PM—4:00 PM (UTC)
    Optional

    Jul

    20

    Optional: Building Multi-AI Agents Using CrewAI

    Sun 7/204:00 PM—5:00 PM (UTC)
    Optional

Week 4

Jul 21—Jul 27

    RAG - Retrieval-Augmented Generation

    1 item

    Agentic AI

    1 item

    Jul

    24

    Optional: Building Multi-AI Agent Using CrewAI

    Thu 7/2412:00 AM—1:00 AM (UTC)
    Optional

    Jul

    26

    Optional: Building Agentic RAG - Hands-On

    Sat 7/263:00 PM—5:00 PM (UTC)
    Optional

    Jul

    27

    Optional: Building Multi Model AI Agent - Voice/Text based AI Agent

    Sun 7/273:00 PM—5:00 PM (UTC)
    Optional

Week 5

Jul 28—Aug 3

    Jul

    31

    Optional: Building Multi Model AI Agent - Voice/Text based AI Agent

    Thu 7/3112:00 AM—1:00 AM (UTC)
    Optional

    Aug

    2

    Building frontend & Backend using Streamlit & FastAPI

    Sat 8/23:00 PM—5:00 PM (UTC)

    Aug

    3

    Optional: AI Agent deployment using Docker & AWS - ECR (Amazon Elastic Container Register)

    Sun 8/33:00 PM—5:00 PM (UTC)
    Optional

Week 6

Aug 4—Aug 9

    CrewAI

    2 items

    FastAPI as Backend and Streamlit as Frontend

    1 item

    Deployment on AWS

    2 items

    Aug

    7

    Optional: AI Agent deployment on AWS - ECS (Elastic Container Service)

    Thu 8/712:00 AM—1:00 AM (UTC)
    Optional

    Aug

    9

    Optional: AI Agent deployment on AWS - ECS & Custom domain DNS Routing using AWS Route 53

    Sat 8/93:00 PM—5:00 PM (UTC)
    Optional

Post-course

    Aug

    10

    Optional: Demo Day - Present your deployed AI Agent to the class

    Sun 8/103:00 PM—5:00 PM (UTC)
    Optional

What people are saying

        I really enjoyed the course. Nitin simplifies the concepts and cites examples which are easy to understand. His energy is infectious. I got the support all the time whenever needed. He ensures that we learn the concept by doing a lot of labs. I highly recommend this course to anyone who wants to learn AI by doing practical stuff and not just theory
Saloni Sisodia

Saloni Sisodia

AVP, Strategy
        This was one of the best learning experiences I’ve had. The course is super well-structured and easy to follow, with lots of hands-on exercises. I especially enjoyed the discussion sessions—they were a great way to ask questions, share ideas, and learn from others.
Alina

Alina

AI Lead
        The sessions were incredibly practical, breaking down complex topics like GenAI, LangChain, and agentic workflows into actionable steps. I especially appreciated the capstone projects—by the end of the training, we had built and deployed a fully functional AI Agent!
Piyush Gupta

Piyush Gupta

Product Manager, AI & Innovation
        Great course, with hands-on experience. Contents are well-organized and explained in a way that they are accessible to everyone who is interested. I highly recommend this course for anyone looking to create their own GenAI projects from scratch. Nitin provides clear, step-by-step guidance throughout the process.
Abhay Zaqui

Abhay Zaqui

Product Manager

Meet your instructor

Nitin Monga

Nitin Monga

I’m a results-driven Data Scientist & AI Engineer with 20+ years in the IT industry and over 8 years of deep focus in Data Science, Machine Learning, Generative AI, and AI Agent Development. I specialize in building intelligent systems that solve real-world problems—be it automating decision-making, enabling smart chat bots, or designing ML/AI based scalable algorithmic trading platforms.

Technical Expertise:

My core strengths span across LLMs (Large Language Models), NLP, Computer Vision, Deep Learning, Statistical Modeling, and Generative AI. I’m fluent in Python, R, and SQL, and regularly work with frameworks like TensorFlow, LangChain, Vector Database, Agentic RAG. I’ve successfully deployed AI-powered solutions on scalable cloud platforms including AWS EC2 & ECS.

Key Projects & Accomplishments:

  • Designed AI-based algorithmic trading systems that improved client trading efficiency and delivered 10–15% better returns through intelligent market prediction.
  • Built and deployed Agentic RAG, multi-agent AI Applications, & Voice/Text AI Chatbots using LLMs, CrewAI, OpenAI Realtime, 11Labs and Vector Databases.
  • Delivered over 100+ enterprise-level workshops and training sessions for global IT companies on Data Science, Machine Learning, GenAI, LLMs, and AI-driven applications.

Soft Skills That Set Me Apart:

  • Strong client engagement & consultative skills—I translate technical AI into practical business value.
  • Leadership & Team Management—Led cross-functional teams in AI delivery and mentored junior engineers and trainers.
  • Quick adaptability and an insatiable curiosity to stay ahead of tech trends.
  • Exceptional communication—able to bridge gaps between technical stakeholders and business users effectively.

I also run AI Agency aiagentcafe.com, where I consult, build, and deliver end-to-end AI agent solutions. My portfolio is available at:

🌐 https://nitinai.xyz

A pattern of wavy dots

Join an upcoming cohort

AI Agent Mastery: Build & Deploy AI Agents

Cohort 1

$900

Dates

July 5—Aug 9, 2025

Application Deadline

July 1, 2025

Course schedule

5 hours per week of Interactive Sessions

  • July - 10, 17, 24, 31 & Aug - 7

    Thursday, 7:00 - 8:00 PM PST


  • July - 5, 6, 12, 13, 19, 20, 26, 27 & Aug - 2, 3, 9, 10

    Saturday, Sunday - 10:00 - 12:00 PM PST


4 Powerful Reasons to Join This Interactive AI Agent Cohort

4 Powerful Reasons to Join This Interactive AI Agent Cohort

Collaborative AI Innovation & Networking

Connect with developers, entrepreneurs, and AI enthusiasts worldwide. Collaborate on cutting-edge AI agent projects and expand your network in the fast-growing GenAI ecosystem.

Live Feedback on AI Builds & Use Cases

Get real-time code reviews, troubleshooting help, and strategy advice as you build GenAI apps, RAG workflows, and multi-agent systems—directly from experts and peers.

Structured Roadmap to AI Mastery

Follow a step-by-step curriculum that takes you from LLM APIs to full AI agent deployments (LangChain, CrewAI, AWS ECS), ensuring you don’t get stuck or overwhelmed.

Hands-On Deployment & Real-World Projects

Walk away with deployable AI agents—voice bots, knowledge agents, chatbots—that you can showcase to employers, clients, or investors. Learn practical skills that translate directly to business impact.

Frequently Asked Questions

A pattern of wavy dots

Join an upcoming cohort

AI Agent Mastery: Build & Deploy AI Agents

Cohort 1

$900

Dates

July 5—Aug 9, 2025

Application Deadline

July 1, 2025

$900

6 Weeks